• Journal of Nutrition and Health
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• v.55 no.6
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• pp.642-655
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• 2022

Purpose: We examined the effects of the 8-week moderate-intensity Pilates exercise program on body composition, balance ability, metabolic parameters, arterial condition, and eating habits among overweight and obese women. Methods: From the general sample of overweight or obese Korean women (body mass index ≥ 23 kg/m² ), those who had not been diagnosed with any chronic degenerative diseases were enrolled in the study (n = 39). After 8 weeks of the Pilates exercise program, the participants were subdivided into adherence and non-adherence groups. Among the study participants, 24 women were matched for age and menopausal status to reduce the bias, and then finally included for the comparison (Pilates-adherence, n = 12; Pilates-non-adherence, n = 12). Results: The body balance measured by the Y-balance test, body mass index, and subcutaneous fat areas were significantly improved in both groups. However, the Pilate-sadherence group showed more positive changes in body balance and had significant improvement in body composition parameters such as waist size, visceral fat area, systolic blood pressure, arterial aging index, fasting blood glucose, and glycated hemoglobin than the Pilates-non-adherence group. In addition, the nutrition quotient for Korean adults (balance, moderation, and behavior except diversity) were significantly improved in both groups after dietary education. However, the participants did not show dramatic improvement in the metabolic parameters, because all the study subjects were in relatively good health and did not have any diagnosed diseases. Conclusion: This study demonstrated that higher adherence to the Pilates exercise program together with a modification of eating habits may effectively improve body balance, body composition, and obesity-related parameters among overweight and obese women.

• Journal of Service Research and Studies
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• v.13 no.3
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• pp.172-189
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• 2023

This study investigated the potential contribution of ChatGPT, a massive language and information model, in the decision-making process of public design policies, focusing on the characteristics inherent to public design. Public design utilizes the principles and approaches of design to address societal issues and aims to improve public services. In order to formulate public design policies and plans, it is essential to base them on extensive data, including the general status of the area, population demographics, infrastructure, resources, safety, existing policies, legal regulations, landscape, spatial conditions, current state of public design, and regional issues. Therefore, public design is a field of design research that encompasses a vast amount of data and language. Considering the rapid advancements in artificial intelligence technology and the significance of public design, this study aims to explore how massive language and information models like ChatGPT can contribute to public design policies. Alongside, we reviewed the concepts and principles of public design, its role in policy development and implementation, and examined the overview and features of ChatGPT, including its application cases and preceding research to determine its utility in the decision-making process of public design policies. The study found that ChatGPT could offer substantial language information during the formulation of public design policies and assist in decision-making. In particular, ChatGPT proved useful in providing various perspectives and swiftly supplying information necessary for policy decisions. Additionally, the trend of utilizing artificial intelligence in government policy development was confirmed through various studies. However, the usage of ChatGPT also unveiled ethical, legal, and personal privacy issues. Notably, ethical dilemmas were raised, along with issues related to bias and fairness. To practically apply ChatGPT in the decision-making process of public design policies, first, it is necessary to enhance the capacities of policy developers and public design experts to a certain extent. Second, it is advisable to create a provisional regulation named 'Ordinance on the Use of AI in Policy' to continuously refine the utilization until legal adjustments are made. Currently, implementing these two strategies is deemed necessary. Consequently, employing massive language and information models like ChatGPT in the public design field, which harbors a vast amount of language, holds substantial value.

• Journal of Korea Water Resources Association
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• v.56 no.9
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• pp.543-551
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• 2023

Snow is an essential climate factor that affects the climate system and surface energy balance, and it also has a crucial role in water balance by providing solid water stored during the winter for spring runoff and groundwater recharge. In this study, statistical analysis of Local Data Assimilation and Prediction System (LDAPS), Modern.-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), and ERA5-Land snow depth data were used to evaluate the applicability in South Korea. The statistical analysis between the Automated Synoptic Observing System (ASOS) ground observation data provided by the Korea Meteorological Administration (KMA) and the reanalysis data showed that LDAPS and ERA5-Land were highly correlated with a correlation coefficient of more than 0.69, but LDAPS showed a large error with an RMSE of 0.79 m. In the case of MERRA-2, the correlation coefficient was lower at 0.17 because the constant value was estimated continuously for some periods, which did not adequately simulate the increase and decrease trend between data. The statistical analysis of LDAPS and ASOS showed high and low performance in the nearby Gangwon Province, where the average snowfall is relatively high, and in the southern region, where the average snowfall is low, respectively. Finally, the error variance between the four independent snow depth data used in this study was calculated through triple collocation (TC), and a merged snow depth data was produced through weighting factors. The reanalyzed data showed the highest error variance in the order of LDAPS, MERRA-2, and ERA5-Land, and LDAPS was given a lower weighting factor due to its higher error variance. In addition, the spatial distribution of ERA5-Land snow depth data showed less variability, so the TC-merged snow depth data showed a similar spatial distribution to MERRA-2, which has a low spatial resolution. Considering the correlation, error, and uncertainty of the data, the ERA5-Land data is suitable for snow-related analysis in South Korea. In addition, it is expected that LDAPS data, which is highly correlated with other data but tends to be overestimated, can be actively utilized for high-resolution representation of regional and climatic diversity if appropriate corrections are performed.

• Journal of the Daesoon Academy of Sciences
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• v.43
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• pp.31-66
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• 2022

In Korea, the concept of publicness, although conceptually unclear, is being used as a medium between religious groups and other areas of society. In this situation, it is necessary to discuss the concept and agenda of publicness related to religions. For this purpose, we reviewed the relationship and agenda between publicness and faith, and then analyzed the cases of creating sacred objects and holy sites in connection with the concept of publicness. Specifically, according to Chapter II, Publicness and Faith, theologians and sociologists interested in publicness generally presuppose or aim for social participation and change. In this context, the agenda related to religious publicness can include the ground of non-Christian publicness, interreligious equality in the public spheres, the status of religious bodies, and the participation of researchers in the public spheres. In Chapter III, Sacred Objects and Publicness, we divided religious publicness into 'publicness within religion' and 'publicness outside of religion.' According to this classification, rituals are a key factor in creating publicness within religion. Publicness outside of religion is not intrinsic, but is constructed through various external debates. In Chapter IV, Sacred Holy Sites and Publicness, we reviewed cases of the construction of Catholic holy sites and analyzed oppositional logic provided by other religious groups in relation to the publicness outside of religion. Those cases internally created publicness within religion but lead to evaluation and debate about publicness outside of religion in public spheres in which various religions participate. Those who opposed the creation of Catholic holy sites used the logic that Catholicism was eliminating the heritage and values of other religions, and responded by expanding this to include the logic that the Catholics were weakening publicness or creating religious bias.

• (The) Research of the performance art and culture
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• no.19
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• pp.5-33
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• 2009

Jain-Danoje's course since modern is not different with almost all of folk performances, which were restored and reconstructed with a background of the designation of an intangible cultural heritage and National folk arts contest sine the 1960s. Generally, these folk performances were decontextualized in course of extinction and reappearance, and recontextualized in course of new directions on tradition. Also, the performances were interpreted differently and transformed by the main constituents of reappearance. Jain-Danoje nowadays has a regular form just at that time that has been designated as a cultural heritage at 1970s. But, today's Jain-Danoje is clearly different with the last appearance in 1936 and some Literature and jainhyun-eupji. I think such differences would stems from the process of reproduction. From this perspective, I had investigate Old literature and the early days report, and the current text. Especially, I will show the considerable change which has been occurred in the Yeowonmu and Hojanggut, the central role to configure that identity, by comparing past and today. As a result of consideration, today's form of the Yeowonmu and Hojanggut are created texts that mind the designation of an intangible cultural heritage and National folk arts contest. These texts has been reproduced without understanding about structure and current of folk festival and state of performance which has been transmitted on premodern society. some intellectuals search for an archaic form of Jain-Danoje based on jainhyun-eupji that created in 1895, except the other jainhyun-eupji. Moreover, because of the understanding with a bias, they can't grasp the meaning about the religious service for Hanjanggun, and they can't see the facts of Yeowonmoo. In addition, they were aware of 'o-sin' that led by Hojang as a fancy dress parade in a carnival, and that is recognized as a component of Jain-Danoje, so there was other text which is different from our own festival.

• Journal of Korea Water Resources Association
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• v.56 no.2
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• pp.75-89
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• 2023

As the Mekong River basin is a nationally shared river, it is difficult to collect precipitation data, and the quantitative and qualitative quality of the data sets differs from country to country, which may increase the uncertainty of hydrological analysis results. Recently, with the development of remote sensing technology, it has become easier to obtain grid-based precipitation products(GPPs), and various hydrological analysis studies have been conducted in unmeasured or large watersheds using GPPs. In this study, rainfall-runoff simulation in the Mekong River basin was conducted using the SWAT model, which is a quasi-distribution model with three satellite GPPs (TRMM, GSMaP, PERSIANN-CDR) and two GPPs (APHRODITE, GPCC). Four water level stations, Luang Prabang, Pakse, Stung Treng, and Kratie, which are major outlets of the main Mekong River, were selected, and the parameters of the SWAT model were calibrated using APHRODITE as an observation value for the period from 2001 to 2011 and runoff simulations were verified for the period form 2012 to 2013. In addition, using the ConvAE, a convolutional neural network model, spatio-temporal correction of original satellite precipitation products was performed, and rainfall-runoff performances were compared before and after correction of satellite precipitation products. The original satellite precipitation products and GPCC showed a quantitatively under- or over-estimated or spatially very different pattern compared to APHPRODITE, whereas, in the case of satellite precipitation prodcuts corrected using ConvAE, spatial correlation was dramatically improved. In the case of runoff simulation, the runoff simulation results using the satellite precipitation products corrected by ConvAE for all the outlets have significantly improved accuracy than the runoff results using original satellite precipitation products. Therefore, the bias correction technique using the ConvAE technique presented in this study can be applied in various hydrological analysis for large watersheds where rain guage network is not dense.

• Journal of Korea Water Resources Association
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• v.56 no.6
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• pp.403-417
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• 2023

In this research, a methodology was developed for constructing an appropriate rainfall image database for estimating rainfall intensity based on CCTV video. The database was constructed in the Large-Scale Climate Environment Chamber of the Korea Conformity Laboratories, which can control variables with high irregularity and variability in real environments. 1,728 scenarios were designed under five different experimental conditions. 36 scenarios and a total of 97,200 frames were selected. Rain streaks were extracted using the k-nearest neighbor algorithm by calculating the difference between each image and the background. To prevent overfitting, data with pixel values greater than set threshold, compared to the average pixel value for each image, were selected. The area with maximum pixel variability was determined by shifting with every 10 pixels and set as a representative area (180×180) for the original image. After re-transforming to 120×120 size as an input data for convolutional neural networks model, image augmentation was progressed under unified shooting conditions. 92% of the data showed within the 10% absolute range of PBIAS. It is clear that the final results in this study have the potential to enhance the accuracy and efficacy of existing real-world CCTV systems with transfer learning.

• Korean Association of Arts Management
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• no.51
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• pp.135-166
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• 2019

Recently, the Japan Cultural Agency announced a plan for revitalizing the art market represented by reading museums (advanced art museums) to promote industry through strengthening the sustainability and economics of art museums. Along with these policy announcements, the Japanese cultural system and Bypyeongje are divided into pros and cons, and there has been a heightened opposition, which is now in a state where policy promotion has been temporarily suspended. The opposite reason is that it does not meet the museum's inherent purpose of preservation and lore, and the reason for favoring that commercialism can ruin the art world is that the Japanese art society is other than art museums and museums Also, it consists of non-profit organizations, art festival administration organizations, support staff, volunteers, etc., but because of the high subsidy bias, no real labor costs are paid, which means that it is virtually neglected. Also, there is a vigilance that the art society itself, which reduces its reliance on subsidies in response to social changes, can survive. Seeing that the situation is not much different from Japan, Korea is also actively discussing new establishments of the National Art Bank, performing art appraisal and evaluation functions for revitalizing art works, art loan, art trust, etc. There is. As it is difficult to solve realistic problems with subsidies from the future situation, it is difficult for us to expand investment in culture, and culture and economy are united and linked. You will find a plan to make it operational. In this regard, it is thought that the examination of the cultural and economic agency's strategy, represented by the Japanese advanced art museums, gives us a meaningful suggestion.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.2B
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• pp.121-135
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• 2010

This study is to assess the effect of potential future climate change on the inflow of agricultural reservoir and its impact to downstream streamflow by reservoir operation for paddy irrigation water supply using the SLURP. Before the future analysis, the SLURP model was calibrated using the 6 years daily streamflow records (1998-200398 and validated using 3 years streamflow data (2004-200698 for a 366.5 $km^2$ watershed including two agricultural reservoirs (Geumgwang8 and Gosam98located in Anseongcheon watershed. The calibration and validation results showed that the model was able to simulate the daily streamflow well considering the reservoir operation for paddy irrigation and flood discharge, with a coefficient of determination and Nash-Sutcliffe efficiency ranging from s 7 to s 9 and 0.5 to s 8 respectively. Then, the future potential climate change impact was assessed using the future wthe fu data was downscaled by nge impFactor method throuih bias-correction, the future land uses wtre predicted by modified CA-Markov technique, and the future ve potentiacovfu information was predicted and considered by the linear regression bpowten mecthly NDVI from NOAA AVHRR ima ps and mecthly mean temperature. The future (2020s, 2050s and 2e 0s) reservoir inflow, the temporal changes of reservoir storaimpand its impact to downstream streamflow watershed wtre analyzed for the A2 and B2 climate change scenarios based on a base year (2005). At an annual temporal scale, the reservoir inflow and storaimpchange oue, anagricultural reservoir wtre projected to big decrease innautumnnunder all possiblmpcombinations of conditions. The future streamflow, soossmoosture and grounwater recharge decreased slightly, whtre as the evapotransporation was projected to increase largely for all possiblmpcombinations of the conditions. At last, this study was analysed contribution of weather, vegetation and land use change to assess which factor biggest impact on agricultural reservoir and stream watershed. As a result, weather change biggest impact on agricultural reservoir inflow, storage, streamflow, evapotranspiration, soil moisture and groundwater recharge.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.4B
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• pp.337-346
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• 2010

Climate change has a huge impact on various parts of the world. This study quantified and analyzed the effects on hydrological behavior caused by climate, vegetation canopy and land use change of Soyanggang dam watershed (2,694.4 $km^2$) using the semi-distributed model SWAT (Soil Water Assessment Tool). For the 1997-2006 daily dam inflow data, the model was calibrated with the Nash-Sutcliffe model efficiencies between the range of 0.45 and 0.91. For the future climate change projection, three GCMs of MIROC3.2hires, ECHAM5-OM, and HadCM3 were used. The A2, A1B and B1 emission scenarios of IPCC (Intergovernmental Panel on Climate Change) were adopted. The data was corrected for each bias and downscaled by Change Factor (CF) method using 30 years (1977-2006, baseline period) weather data and 20C3M (20th Century Climate Coupled Model). Three periods of data; 2010-2039 (2020s), 2040-2069 (2050s), 2070-2099 (2080s) were prepared for future evaluation. The future annual temperature and precipitation were predicted to change from +2.0 to $+6.3^{\circ}C$ and from -20.4 to 32.3% respectively. Seasonal temperature change increased in all scenarios except for winter period of HadCM3. The precipitation of winter and spring increased while it decreased for summer and fall for all GCMs. Future land use and vegetation canopy condition were predicted by CA-Markov technique and MODIS LAI versus temperature regression respectively. The future hydrological evaluation showed that the annual evapotranspiration increases up to 30.1%, and the groundwater recharge and soil moisture decreases up to 55.4% and 32.4% respectively compared to 2000 condition. Dam inflow was predicted to change from -38.6 to 29.5%. For all scenarios, the fall dam inflow, soil moisture and groundwater recharge were predicted to decrease. The seasonal vapotranspiration was predicted to increase up to 64.2% for all seasons except for HadCM3 winter.